Vision-Based-Path-Following-Algorithm
Version 1.0 (2,58 Mo) par
Giuseppe Silano
This repository contains the work carried out for the IFAC2020 MATLAB Minidrone competition.
A novel prize-winner algorithm designed for a path following problem within the Unmanned Aerial Vehicle(UAV) field is presented in this paper. The proposed approach exploits the advantages offered by the pure pursuing algorithm to set up an intuitive and simple control framework. A path for quad-rotor UAV is obtained by using downward-facing camera images implementing an Image-Based Visual Servoing (IBVS)approach. Numerical simulations in MATLAB together with the MathWorks™ Virtual Reality (VR) toolbox demonstrate the validity and the effectiveness of the proposed solution. The code is released as open-source making it possible to go through any part of the system and to replicate the obtained results.
Citation pour cette source
M. Terlizzi, G. Silano, L. Russo, M. Aatif, A. Basiri, V. Mariani, L. Iannelli, and L. Glielmo. "A Vision-Based Algorithm for a Path Following Problem," 2021 International Conference on Unmanned Aircraft Systems (ICUAS), June 2021, pp. 1630-1635, doi: 10.1109/ICUAS51884.2021.9476777.
Compatibilité avec les versions de MATLAB
Créé avec
R2019b
Compatible avec les versions R2019b et ultérieures
Plateformes compatibles
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Version | Publié le | Notes de version | |
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1.0 |
Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.
Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.